Hyperbolic Heterogeneous Graph Attention Networks for Effective Representation Learning of Complex Heterogeneous Graphs

Hyperbolic Heterogeneous Graph Attention Networks (HHGAT) effectively learn vector representations of heterogeneous graphs in hyperbolic spaces by leveraging metapath instances, which capture rich semantic structural information and heterogeneity inherent in real-world heterogeneous graphs.